<p>Higher order methylation features for clustering and prediction in epigenomic studies</p>

Andreas C. Kapourani; Guido Sanguinetti

doi:10.7490/f1000research.1113102.1

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Kapourani AC and Sanguinetti G. Higher order methylation features for clustering and prediction in epigenomic studies [version 1; not peer reviewed]. F1000Research 2016, 5:2275 (slides) (https://doi.org/10.7490/f1000research.1113102.1)

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Higher order methylation features for clustering and prediction in epigenomic studies

Andreas C. Kapourani¹, Guido Sanguinetti¹

Published 08 Sep 2016 (https://doi.org/10.7490/f1000research.1113102.1)

Author Affiliations

¹ University of Edinburgh, UK

Copyright © 2016 Kapourani AC and Sanguinetti G. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 08 Sep 2016

Higher order methylation features for clustering and prediction in epigenomic studies
[version 1; not peer reviewed]

Andreas C. Kapourani¹, Guido Sanguinetti¹

Author Affiliations

¹ University of Edinburgh, UK

Presented at

15th European Conference on Computational Biology (ECCB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

DNA methylation, gene expression, machine learning, epigenetics

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